no code implementations • 12 Sep 2022 • Laurent Valentin Jospin, Hamid Laga, Farid Boussaid, Mohammed Bennamoun
A major focus of recent developments in stereo vision has been on how to obtain accurate dense disparity maps in passive stereo vision.
1 code implementation • 2 Dec 2021 • Laurent Valentin Jospin, Farid Boussaid, Hamid Laga, Mohammed Bennamoun
In this paper, we show that closed form formulae for subpixel disparity computation for the case of one dimensional matching, e. g., in the case of rectified stereo images where the search space is of one dimension, exists when using the standard NCC, SSD and SAD cost functions.
4 code implementations • 14 Jul 2020 • Laurent Valentin Jospin, Wray Buntine, Farid Boussaid, Hamid Laga, Mohammed Bennamoun
Modern deep learning methods constitute incredibly powerful tools to tackle a myriad of challenging problems.
no code implementations • 1 Jun 2020 • Hamid Laga, Laurent Valentin Jospin, Farid Boussaid, Mohammed Bennamoun
Motivated by their growing success in solving various 2D and 3D vision problems, deep learning for stereo-based depth estimation has attracted growing interest from the community, with more than 150 papers published in this area between 2014 and 2019.
Ranked #1 on Monocular Depth Estimation on Make3D (RMSE metric)
no code implementations • 6 Nov 2018 • Laurent Valentin Jospin, Gilles Baechler, Adam Scholefield
Polarizing filters provide a powerful way to separate diffuse and specular reflection; however, traditional methods rely on several captures and require proper alignment of the filters.